Purification-based quantum error mitigation of pair-correlated electron simulations
Nature Physics, vol. 19, pp. 1787–1792
Abstract
Abstract An important measure of the development of quantum computing platforms has been the simulation of increasingly complex physical systems. Before fault-tolerant quantum computing, robust error-mitigation strategies were necessary to continue this growth. Here, we validate recently introduced error-mitigation strategies that exploit the expectation that the ideal output of a quantum algorithm would be a pure state. We consider the task of simulating electron systems in the seniority-zero subspace where all electrons are paired with their opposite spin. This affords a computational stepping stone to a fully correlated model. We compare the performance of error mitigations on the basis of doubling quantum resources in time or in space on up to 20 qubits of a superconducting qubit quantum processor. We observe a reduction of error by one to two orders of magnitude below less sophisticated techniques such as postselection. We study how the gain from error mitigation scales with the system size and observe a polynomial suppression of error with increased resources. Extrapolation of our results indicates that substantial hardware improvements will be required for classically intractable variational chemistry simulations.
Authors 97
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Leiden University · Google (United States)
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Google Research, Mountain View, CA, USA
Instituut-Lorentz, Universiteit Leiden, Leiden, the Netherlands
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Covestro Deutschland AG, Leverkusen, Germany
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Covestro Deutschland AG, Leverkusen, Germany
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PASQAL SAS, Massy, France
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Leiden University · Google (United States)
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Google Research, Mountain View, CA, USA
Instituut-Lorentz, Universiteit Leiden, Leiden, the Netherlands
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Google Research, Mountain View, CA, USA
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Covestro Deutschland AG, Leverkusen, Germany
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google (United States) · University of Massachusetts Amherst
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Department of Electrical and Computer Engineering, University of Massachusetts Amherst, Amherst, MA, USA
Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google (United States) · University of Connecticut
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Department of Physics, University of Connecticut, Storrs, CT, USA
Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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University of Technology Sydney · Google (United States)
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Google Research, Mountain View, CA, USA
QSI, Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, New South Wales, Australia
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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University of California, Riverside · Google (United States)
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Department of Electrical and Computer Engineering, University of California, Riverside, CA, USA
Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google (United States) · Columbia University
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Department of Chemistry, Columbia University, New York, NY, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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Google Research, Mountain View, CA, USA
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